{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "17cc3dd3-6209-4c98-baa8-96b1456e0573",
   "metadata": {},
   "source": [
    "# Sample gnuplot notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7cbebe18-95f7-4523-ae2e-c5b24f904566",
   "metadata": {},
   "source": [
    "## Simple plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0ba4a2e5-3c3f-47d5-9107-0b9325553659",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot sin and cos with different linetypes\n",
    "\n",
    "f(x) = sin(x)\n",
    "g(x) = cos(x)\n",
    "set xrange[0:2*pi]\n",
    "set xtics(0, \"{/Symbol p}\" pi , \"2{/Symbol p}\" 2*pi)\n",
    "set ytics 1\n",
    "plot f(x) linewidth 2 title \"sin(x)\", \\\n",
    "    g(x) linewidth 2 dashtype \"--\" title \"cos(x)\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8475a8c3-6687-4259-a60c-bb0e7207caea",
   "metadata": {},
   "source": [
    "## Example of line magic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0f857ce4-115b-4b0e-82c8-2e6d70393c7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "\n",
       "\tdummy variable is t for curves, u/v for surfaces\n"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%gnuplot inline pngcairo enhanced background rgb \"#EEEEEE\" size 600, 600\n",
    "# Parametric plot without border\n",
    "\n",
    "reset\n",
    "set parametric\n",
    "set size ratio -1\n",
    "unset border\n",
    "unset tics\n",
    "plot f(t), g(t) linewidth 2 notitle"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "gnuplot",
   "language": "gnuplot",
   "name": "gnuplot"
  },
  "language_info": {
   "codemirror_mode": "Octave",
   "file_extension": ".gp",
   "help_links": [
    {
     "text": "MetaKernel Magics",
     "url": "https://metakernel.readthedocs.io/en/latest/source/README.html"
    }
   ],
   "mimetype": "text/x-gnuplot",
   "name": "gnuplot"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
